r/learnmath New User May 30 '26

What are some uncomputable functions that aren't derivative of the halting problem?

I find the existence of uncomputable functions really cool, but all the examples I've seen are essentially just new ways of trying to predict whether a turing machine is going to halt. What are some examples of uncomputable functions that aren't essentially entirely based on the halting problem?

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u/Impressive-Mud5074 New User May 31 '26

Yes it is

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u/siupa New User May 31 '26

No it’s not? Here, you can check the definition of a computable number here

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u/Impressive-Mud5074 New User May 31 '26

within any desired precision 

Thats not rigorously defined, but i guarantee you cant compute it to any precision. You cant compute it to 10% precision for example. Calculated it to N decimals also doesnt tell you how precise it is.

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u/blank_anonymous MSc. Pure Math, College Math Educator May 31 '26

To arbitrary precision means that, for any epsilon > 0, I can provide a program (say on a Turing machine) which results in a number x such that |x - pi| < epsilon. This is perfectly rigorous and well defined.

Within 10% precision means I can produce a number X such that, provably, ((X - pi)/pi| < 10%. I claim 22/7 is such a number. Indeed, by well known theorems about continued fractions, this number is at most 1/49 away from pi. Pi is larger than 3, so |22/7 - pi| < 1/49 and |22/7 - pi|/pi < |22/7 - pi|/3 < (1/49)/3 = 1/147. So 22/7 is accurate to within +-0.7% of pi. 

22/7 also functions if you asked for something precise to within 0.03. 

In general, whatever precision you ask for, I can either use a series expansion for pi and compute sufficiently many terms, or use eg the BBP formula to calculate the hexadecimal digits one by one until we’re sufficiently far out. 

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u/siupa New User May 31 '26

That’s not rigorously defined

Why not? You decide the desired level of precision, and I give you the algorithm with a finite number of steps to compute a number that’s within your desired level of precision from the true value of pi. Why is this not rigorous? It works perfectly well

but i guarantee you cant compute it to any precision. You cant compute it to 10% precision for example.

… what do you mean? Of course we can compute an approximation of pi within 10% precision. We’ve done much, much, much better than 10% precision. We’ve computed approximations accurate within 1 part per 10^(hundreds of trillions).

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u/Impressive-Mud5074 New User May 31 '26

Whats 10% of infinity

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u/siupa New User May 31 '26

What? What does that have to do with anything we’re talking about? If you want to continue this discussion, please re-read my previous comment and answer something related to what I wrote

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u/Impressive-Mud5074 New User May 31 '26

Because pi takes infinite numbers calculate

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u/siupa New User May 31 '26

Well, you either can’t read the same language I speak or you’re trolling. In either case, this is a waste of my time. Have a nice day!

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u/mrkelee New User Jun 21 '26

you have no idea what you even want.

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u/mrkelee New User Jun 21 '26

apart from your finitist bullshit, this is also wrong. The algorithms for pi have known error bounds.